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rasa NLU

96
217
+ 1
23
Wit

9
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+ 1
0
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rasa NLU vs Wit: What are the differences?

What is rasa NLU? Open source, drop-in replacement for NLP tools like wit.ai. rasa NLU (Natural Language Understanding) is a tool for intent classification and entity extraction. You can think of rasa NLU as a set of high level APIs for building your own language parser using existing NLP and ML libraries.

What is Wit? Natural Language for the Internet of Things. Turn speech into actionable data. Wit enables developers to add a modern natural language interface to their app or device with minimal effort. Precisely, Wit turns sentences into structured information that the app can use. Developers don’t need to worry about Natural Language Processing algorithms, configuration data, performance and tuning. Wit encapsulates all this and lets you focus on the core features of your apps and devices.

rasa NLU and Wit can be primarily classified as "NLP / Sentiment Analysis" tools.

Some of the features offered by rasa NLU are:

  • open source
  • python
  • NLP

On the other hand, Wit provides the following key features:

  • Voice-enabled Android and iOS apps
  • Rasberry Pi based home automation commanded by speech
  • Google Glass apps accepting voice commands

rasa NLU is an open source tool with 5.6K GitHub stars and 1.66K GitHub forks. Here's a link to rasa NLU's open source repository on GitHub.

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Pros of rasa NLU
Pros of Wit
  • 8
    Open Source
  • 6
    Self Hosted
  • 5
    Docker Image
  • 3
    Comes with rasa_core
  • 1
    Enterprise Ready
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    Cons of rasa NLU
    Cons of Wit
    • 3
      No interface provided
    • 1
      Wdfsdf
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      - No public GitHub repository available -

      What is rasa NLU?

      rasa NLU (Natural Language Understanding) is a tool for intent classification and entity extraction. You can think of rasa NLU as a set of high level APIs for building your own language parser using existing NLP and ML libraries.

      What is Wit?

      Wit enables developers to add a modern natural language interface to their app or device with minimal effort. Precisely, Wit turns sentences into structured information that the app can use. Developers don’t need to worry about Natural Language Processing algorithms, configuration data, performance and tuning. Wit encapsulates all this and lets you focus on the core features of your apps and devices.

      Need advice about which tool to choose?Ask the StackShare community!

      What companies use rasa NLU?
      What companies use Wit?
      See which teams inside your own company are using rasa NLU or Wit.
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      What tools integrate with rasa NLU?
      What tools integrate with Wit?

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      What are some alternatives to rasa NLU and Wit?
      Dialogflow
      Give users new ways to interact with your product by building engaging voice and text-based conversational apps.
      SpaCy
      It is a library for advanced Natural Language Processing in Python and Cython. It's built on the very latest research, and was designed from day one to be used in real products. It comes with pre-trained statistical models and word vectors, and currently supports tokenization for 49+ languages.
      NLTK
      It is a suite of libraries and programs for symbolic and statistical natural language processing for English written in the Python programming language.
      TensorFlow
      TensorFlow is an open source software library for numerical computation using data flow graphs. Nodes in the graph represent mathematical operations, while the graph edges represent the multidimensional data arrays (tensors) communicated between them. The flexible architecture allows you to deploy computation to one or more CPUs or GPUs in a desktop, server, or mobile device with a single API.
      Gensim
      It is a Python library for topic modelling, document indexing and similarity retrieval with large corpora. Target audience is the natural language processing (NLP) and information retrieval (IR) community.
      See all alternatives